It’s even worse when AI soaks up some project whose APIs are constantly changing. Try using AI to code against jetty for example and you’ll be weeping.

All AIs are the same. They’re just scraping content from GitHub, stackoverflow etc with a bunch of guardrails slapped on to spew out sentences that conform to their training data but there is no intelligence. They’re super handy for basic code snippets but anyone using them anything remotely complex or nuanced will regret it.

Hardly surprising. Llms aren’t -thinking- they’re just shitting out the next token for any given input of tokens.

My bambu AMS doesn’t work with TPU so I don’t think multimaterial has much benefit in this use case. Basically I have to put the tpu on a spool at the back and disconnect the tubes from the AMS.

I do find multimaterial handy for PLA/PETG although AMS can be annoying if a piece of PLA snaps which often happens.